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[DOC File]Factor Analysis - Montana State University
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The example that we will use to demonstrate factor analysis is taken from a research study conducted by Field (2000) to study student anxiety related to the use of SPSS. Field generated a twenty-three item questionnaire based on interviews with anxious and non-anxious students.
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[DOC File]The purpose of this investigation was to determine the ...
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The purpose of this investigation was to explore the factor structure underlying the music item responses in the GSS data set. Factor analysis has as its key objective reducing a larger set of variables to a smaller set of factors, fewer in number than the original variable set, but capable of accounting for a large portion of the total variability in the items.
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[DOCX File]Exploratory Factor Analysis (EFA):
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Below I present a factor analysis from SPSS showing 8 factors – I allowed SPSS to use the default extraction method to determine the number of factors (i.e., eigenvalues greater than 1.00). I used an option in SPSS to hide any factor loading less than .30 in absolute value to help make the table of result easier to read.
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[DOC File]Factor Analsysis
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In exploratory factor analysis, the loadings can be rotated about the origin of the factors without affecting the reproduced correlations. ... SPSS Factor Analysis Example 1. A clear-cut orthogonal two-factor solution. The correlation matrix. ... On the other hand, it can also be considered to be an example of the 2nd reason for doing factor ...
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[DOC File]Factor Analsysis - University Homepage
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Factor Analysis and Path Diagrams. Factor analysis is represented in path diagrams as are regression analyses, with factors as independent variables and observed variables as dependent variables. Relationship of Y1 to the two factors. Relationship of Y1, Y2, Y3, and Y4 to the two factors of the example. Exploratory vs. Confirmatory Factor Analysis
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[DOC File]FACTOR ANALYSIS: - Exeter
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Factor. A latent variable that analysis (using SPSS) has identified as describing a significant proportion of the variance in the data. A large number of variables may contribute to the effectiveness of a particular factor in describing this variance. Factor loadings. A factor loading is the degree to which every variable correlates with a factor.
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[DOCX File]East Carolina University
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The exploratory factor analysis using a principal-axis factor extraction was conducted to determine the factor structure. Velicer’s MAP test recommended a three-factor solution, the Parallel Analysis recommended a two-factor solution for the cyberloafing items, and the scree plot indicated a two-factor solution.
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Exploratory factor analysis spss example